Chen Fu

1.6k total citations · 2 hit papers
45 papers, 860 citations indexed

About

Chen Fu is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Chen Fu has authored 45 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Chen Fu's work include Ferroptosis and cancer prognosis (4 papers), Immunotherapy and Immune Responses (3 papers) and HER2/EGFR in Cancer Research (3 papers). Chen Fu is often cited by papers focused on Ferroptosis and cancer prognosis (4 papers), Immunotherapy and Immune Responses (3 papers) and HER2/EGFR in Cancer Research (3 papers). Chen Fu collaborates with scholars based in China, United States and South Korea. Chen Fu's co-authors include Zhaojin Yu, Yuxi Miao, Lifeng Yu, Minjie Wei, Xinli Liu, Anthony Wynshaw‐Boris, Xudong Liao, Yuyan Shen, Rongli Zhang and Mukesh K. Jain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Chen Fu

38 papers receiving 848 citations

Hit Papers

Peptide–drug conjugates (PDCs): a novel trend of research... 2022 2026 2023 2024 2022 2025 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chen Fu China 16 426 156 124 91 83 45 860
Joan Carles Ferreres Spain 20 786 1.8× 174 1.1× 203 1.6× 73 0.8× 131 1.6× 51 1.3k
Xiangqin He China 16 703 1.7× 97 0.6× 141 1.1× 104 1.1× 258 3.1× 40 1.1k
Kenneth Dunner United States 14 866 2.0× 249 1.6× 97 0.8× 177 1.9× 95 1.1× 20 1.6k
Mackenzie E. Malo Canada 16 384 0.9× 124 0.8× 50 0.4× 42 0.5× 37 0.4× 39 733
Elisabetta Grillo Italy 20 450 1.1× 120 0.8× 38 0.3× 103 1.1× 151 1.8× 55 1.0k
Chen Ren China 24 717 1.7× 276 1.8× 97 0.8× 82 0.9× 267 3.2× 73 1.4k
Jianqi Cui United States 17 731 1.7× 211 1.4× 154 1.2× 59 0.6× 152 1.8× 30 1.1k
Misook Oh United States 16 721 1.7× 128 0.8× 126 1.0× 60 0.7× 62 0.7× 24 985
Morey L. Smith United States 15 701 1.6× 234 1.5× 46 0.4× 210 2.3× 184 2.2× 29 1.3k

Countries citing papers authored by Chen Fu

Since Specialization
Citations

This map shows the geographic impact of Chen Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Fu more than expected).

Fields of papers citing papers by Chen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen Fu. The network helps show where Chen Fu may publish in the future.

Co-authorship network of co-authors of Chen Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Fu. A scholar is included among the top collaborators of Chen Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen Fu. Chen Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Xi, Xiao Hu, Chen Fu, et al.. (2025). Novel MAFG-METTL14-SCD1 axis regulates lipid metabolism mediating choroidal melanoma distant metastasis. Journal of Experimental & Clinical Cancer Research. 44(1). 334–334.
2.
Jiang, Lai, Chen Fu, Jiaqi Liu, et al.. (2025). A novel predictive model and therapeutic potential of quercetin derivatives in chronic kidney disease progression. Biochemical Pharmacology. 239. 117024–117024.
3.
Fu, Chen, et al.. (2025). Synergistic potential of CDH3 in targeting CRC metastasis and enhancing immunotherapy. BMC Cancer. 25(1). 560–560.
5.
Fu, Chen, et al.. (2025). SERPINA1 is a new frontier in cancer immunotherapy and drug targeting by pan-cancer analysis. Discover Oncology. 16(1). 1030–1030.
6.
Fu, Chen, et al.. (2024). Characterization and efficacy of C60 nano-photosensitive drugs in colorectal cancer treatment. Biomedicine & Pharmacotherapy. 176. 116828–116828. 9 indexed citations
7.
Miao, Yuxi, et al.. (2024). Current status and trends in small nucleic acid drug development: Leading the future. Acta Pharmaceutica Sinica B. 14(9). 3802–3817. 25 indexed citations
8.
Fu, Chen, et al.. (2023). A review of invasive intracranial pressure monitoring following surgery for hypertensive cerebral hemorrhage. Frontiers in Neurology. 14. 1108722–1108722. 5 indexed citations
9.
Wang, Ding, et al.. (2022). Through network pharmacology and molecular docking to explore the underlying mechanism of Artemisia annua L. treating in abdominal aortic aneurysm. Frontiers in Physiology. 13. 1034014–1034014. 4 indexed citations
10.
Wang, Liwei, Chen Fu, Rui Liu, et al.. (2021). Gene expression and immune infiltration in melanoma patients with different mutation burden. BMC Cancer. 21(1). 379–379. 15 indexed citations
11.
Fu, Chen, Zhaojin Yu, Ying He, Jian Ding, & Minjie Wei. (2021). Down-Regulation of an Autophagy-Related Gene SERPINA1 as a Superior Prognosis Biomarker Associates with Relapse and Distant Metastasis in Colon Adenocarcinoma. OncoTargets and Therapy. Volume 14. 3861–3872. 7 indexed citations
12.
Shi, Yajuan, Zhi Zhang, Chen Fu, et al.. (2021). Cardiac‐specific overexpression of miR‐122 induces mitochondria‐dependent cardiomyocyte apoptosis and promotes heart failure by inhibiting Hand2. Journal of Cellular and Molecular Medicine. 25(11). 5326–5334. 34 indexed citations
13.
Ma, Huihui, Bin Xu, Wenjia Li, et al.. (2020). Effects of alpha-lipoic acid on the behavior, serum indicators, and bone quality of broilers under stocking density stress. Poultry Science. 99(10). 4653–4661. 26 indexed citations
14.
Miao, Wei, Lina Guo, Wenhua Xue, et al.. (2019). <p>Type C Personality and Depression Among Newly Diagnosed Breast Cancer Patients: The Mediating Role of Sense of Coherence</p>. Neuropsychiatric Disease and Treatment. Volume 15. 3519–3529. 11 indexed citations
15.
Liu, Qianqian, Xiling Zhang, Jinwei Liu, et al.. (2019). Bioinformatics Analysis Suggests the Combined Expression of AURKB and KIF18B Being an Important Event in the Development of Clear Cell Renal Cell Carcinoma. Pathology & Oncology Research. 26(3). 1583–1594. 10 indexed citations
16.
Fu, Chen, Justin Stebbing, & Francisco J. Esteva. (2019). Clinical development of CT-P6 in HER2 positive breast cancer. Expert Opinion on Biological Therapy. 19(10). 987–992. 6 indexed citations
17.
Lv, Junyuan, et al.. (2018). Long noncoding RNA H19 promotes vascular remodeling by sponging let-7a to upregulate the expression of cyclin D1. Biochemical and Biophysical Research Communications. 508(4). 1038–1042. 25 indexed citations
18.
Zhang, Shaoliang, et al.. (2016). Influence of CO2leakage from oil-producing wells on crop growth based on improved CASA model. International Journal of Remote Sensing. 37(2). 290–308. 6 indexed citations
19.
Yan, Zhengjian, Qing Ma, Liang Chen, et al.. (2014). Clinical application of the paraspinal erector approach for spinal canal decompression in upper lumber burst fractures. Journal of Orthopaedic Surgery and Research. 9(1). 105–105. 4 indexed citations
20.
Wu, Qiao, Yuan Ji, Mingqing Zhang, et al.. (2003). Role of tumor metastasis suppressor gene KAI1 in digestive tract carcinomas and cancer cells. Cell and Tissue Research. 314(2). 237–249. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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